Synopsis
This project mainly aims to analyze the sentiment of a person using Deep Learning. Deep Learning is the latest process to help analyze near-perfect sentiments. It feeds a lot of data to the algorithm and in the process adjusts itself to constantly progress in the prediction process. Sentiment analysis is a type of data mining that measures the proclivity of human opinions through Natural Language Processing (NLP), computational linguistics and text analysis, which are used to extract and analyze subjective information from the Web-mostly social media and similar sources. It is the understanding and arrangement of emotions (positive, negative and neutral) within text data using text analysis techniques.Apart from this, there is a social platform named as Twitter, where people express their views related to various current issues in the form of emotion token as well as symbol. So it becomes a great source to work on, where people having different languages but can express using emotion symbols. The social media has even dark side. Here in this work we also differentiate between fake and original news using sentiment analysis.
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An Approach to Sentiment Analysis through Deep Learning
Published by
LAP LAMBERT Academic Publishing Aug 2020, 2020
ISBN 10: 620278654X
ISBN 13: 9786202786546
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This project mainly aims to analyze the sentiment of a person using Deep Learning. Deep Learning is the latest process to help analyze near-perfect sentiments. It feeds a lot of data to the algorithm and in the process adjusts itself to constantly progress in the prediction process. Sentiment analysis is a type of data mining that measures the proclivity of human opinions through Natural Language Processing (NLP), computational linguistics and text analysis, which are used to extract and analyze subjective information from the Web-mostly social media and similar sources. It is the understanding and arrangement of emotions (positive, negative and neutral) within text data using text analysis techniques.Apart from this, there is a social platform named as Twitter, where people express their views related to various current issues in the form of emotion token as well as symbol. So it becomes a great source to work on, where people having different languages but can express using emotion symbols. The social media has even dark side. Here in this work we also differentiate between fake and original news using sentiment analysis. 80 pp. Englisch. Seller Inventory # 9786202786546
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An Approach to Sentiment Analysis through Deep Learning
Published by
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 620278654X
ISBN 13: 9786202786546
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An Approach to Sentiment Analysis through Deep Learning
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LAP LAMBERT Academic Publishing, 2020
ISBN 10: 620278654X
ISBN 13: 9786202786546
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An Approach to Sentiment Analysis through Deep Learning
Published by
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 620278654X
ISBN 13: 9786202786546
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Dawn IndrajitMr. Indrajit has completed his Master of Technology (M. Tech) in Computer Science & Engineering and Bachelor of Technology (B. Tech) from Maulana Abul Kalam Azad University of Technology (Formerly known as WBUT), West Be. Seller Inventory # 494132849
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An Approach to Sentiment Analysis through Deep Learning
Published by
LAP LAMBERT Academic Publishing Aug 2020, 2020
ISBN 10: 620278654X
ISBN 13: 9786202786546
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This project mainly aims to analyze the sentiment of a person using Deep Learning. Deep Learning is the latest process to help analyze near-perfect sentiments. It feeds a lot of data to the algorithm and in the process adjusts itself to constantly progress in the prediction process. Sentiment analysis is a type of data mining that measures the proclivity of human opinions through Natural Language Processing (NLP), computational linguistics and text analysis, which are used to extract and analyze subjective information from the Web-mostly social media and similar sources. It is the understanding and arrangement of emotions (positive, negative and neutral) within text data using text analysis techniques.Apart from this, there is a social platform named as Twitter, where people express their views related to various current issues in the form of emotion token as well as symbol. So it becomes a great source to work on, where people having different languages but can express using emotion symbols. The social media has even dark side. Here in this work we also differentiate between fake and original news using sentiment analysis.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch. Seller Inventory # 9786202786546
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An Approach to Sentiment Analysis through Deep Learning
Published by
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 620278654X
ISBN 13: 9786202786546
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This project mainly aims to analyze the sentiment of a person using Deep Learning. Deep Learning is the latest process to help analyze near-perfect sentiments. It feeds a lot of data to the algorithm and in the process adjusts itself to constantly progress in the prediction process. Sentiment analysis is a type of data mining that measures the proclivity of human opinions through Natural Language Processing (NLP), computational linguistics and text analysis, which are used to extract and analyze subjective information from the Web-mostly social media and similar sources. It is the understanding and arrangement of emotions (positive, negative and neutral) within text data using text analysis techniques.Apart from this, there is a social platform named as Twitter, where people express their views related to various current issues in the form of emotion token as well as symbol. So it becomes a great source to work on, where people having different languages but can express using emotion symbols. The social media has even dark side. Here in this work we also differentiate between fake and original news using sentiment analysis. Seller Inventory # 9786202786546